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System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares ,System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares
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System identification with adaptive filter using full and partial-update Affine Projection Algorithm
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System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-Squares
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System identification with adaptive filter using full and partial-update Least-Mean-Squares -System identification with adaptive filter using full and partial-update Least-Mean-Squares
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System identification with adaptive filter using full and partial-update Normalised-Least-Mean-Squares
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System identification with adaptive filter using full and partial-update Recursive-Least-Squares
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自适应FIR滤波器系统识别，输出原始信号频谱，经未知系统后信号频谱和经自适应FIR滤波器后信号频谱-Adaptive FIR filter system identification, output the original signal spectrum after the signal through the unknown system by the adaptive FIR filter spectrum and signal spectrum after the
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通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。-Through the adaptive FIR filter, and continuously revise its system function, so that the unknown system parameters with sufficient approximation, so that the smallest error to achieve system
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adaptive filter, algorithm, for estimation, channel equalization, system identification-adaptive filter, algorithm, for estimation, channel equalization, system identification...........
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最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统-LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear
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通过FIR滤波器的自适应调整，不断修正其系统函数，使其与未知系统的参数充分逼近，从而使误差最小，达到系统辨识的目的。
-Through the adaptive FIR filter, constantly modify the system function, with unknown system parameters to the full approach, so that error, and achieve the purpose of system identification
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基于Kalman自适应滤波的QPSK信号系统逆辨识算法-Kalman Adaptive Filter Based on QPSK signal system inverse identification algorithm
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Least Mean Square System Identification from Adaptive Filter Theory
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基于matlab的自适应仿真。包含陷波器，滤波器，系统辨识等-Matlab based adaptive simulation. Contains a notch filter, filter, system identification
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System identification with adaptive filter usinglms
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matlab实现自适应滤波，分别用LMS算法和RLS算法实现系统辨识问题。-matlab adaptive filter, LMS algorithm and RLS were used algorithms for system identification problems.
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LMS自适应滤波器做系统辨识，输入为高斯白噪声，可运行，有注释-LMS adaptive filter to do system identification, input Gaussian white noise can be run by a comment
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RLS自适应滤波器程序做系统辨识，输入为高斯白噪声，内有详细注释，可运行-RLS adaptive filter program to do system identification, the input is Gaussian white noise, with detailed notes, you can run
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本程序是自适应滤波器的应用，主要进行的是系统辨识的程序，希望对大家有用-This procedure is adaptive filter applications, mainly for the system identification procedures, we hope to useful
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自适应滤波器介绍以及用LMS算法实现最基本的系统辨识流程-Adaptive filter and LMS algorithm introduces the basic system identification process
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